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Quick Definition
Elasticity is the ability of cloud infrastructure to automatically expand and contract capacity in response to demand. It lets workloads scale up during peaks and down during troughs, aligning resource usage, and cost, closely with actual need.
Elasticity is the ability of infrastructure to expand when demand rises and contract when it falls, automatically and quickly. It is the property that separates cloud from a traditional data center, where capacity is fixed months in advance and sized for the worst-case peak.
Elasticity only pays off when both directions work. Scaling up keeps users happy; scaling down is what saves money. Many teams configure autoscaling to add capacity aggressively but never tune the scale-down side, so infrastructure ratchets upward and stays there. The result is cloud pricing with data-center economics.
Example. A tax-filing service runs on 200 servers during filing season and 12 servers the rest of the year. With true elasticity it pays for exactly that curve. Without it, it would pay for 200 servers all year to survive four busy weeks.
Elasticity is also a financial concept: whether your costs flex with your business. Read What Is Cloud Elasticity? for the foundations and Cloud Cost Elasticity for the spend angle.
Scalability is the capacity to grow. Elasticity is growing and shrinking automatically in response to demand, in near real time.
Usually because scale-down rules are missing or too cautious, or because fixed-size resources like databases and commitments dominate the bill.
Yes. Storage tiers, serverless platforms, and managed databases also flex, though each has its own limits and pricing behavior.